Senior EEG Systems Validation Engineer EEG Hardware, Firmware & Signal Acquisition Quality

Location:
Bangalore, in office Employment Type: Full-Time

Experience:
5+ Years (hardware/firmware/signal acquisition validation, not research-only) Start Date: Immediate Joiners Preferred 1. Job Title Senior EEG Hardware Design & Integration Engineer Company Description: Basil Health AI is developing neuro-wellness technology that integrates ancient wisdom, modern neuroscience, and AI-driven personalization to help individuals better understand and improve their mental well-being. The company focuses on making mental wellness measurable, personalized, and actionable through evidence-based mental optimization tools. Basil Health AI is also innovating a Web3-enabled engagement layer that uses a utility token to reward real mental progress and support community-driven growth. Its technology has been tested with major organizations and is supported by researchers from leading institutions, including IIT Kanpur, IIT Mandi, the University of Maryland, and Michigan State University. Basil Health AI collaborates globally with corporates, healthcare providers, research institutions, wellness retreats, and NGOs to advance mental wellness and cognitive health. We are hiring a hands-on engineer to independently evaluate, validate, and troubleshoot EEG acquisition systems — both commercial devices and custom-built hardware. This is an engineering and quality-validation role centered on the full EEG acquisition chain: electrodes, analog front end, ADC, firmware, embedded data pipeline, wireless streaming, and signal integrity at the hardware level. This role is explicitly NOT a neuroscience research or EEG machine-learning position. Instead, the focus is on whether a device is built and behaving correctly: is the analog design sound, is the firmware acquiring data faithfully, is the signal clean enough to trust, and — when it isn't — is the root cause hardware, firmware, electrode/placement, physiological, or environmental. The ideal candidate can take a newly purchased or newly built EEG system, inspect its datasheets and raw output, run a structured validation protocol, and issue a clear engineering verdict: approve for use, flag specific defects, or recommend redesign. 2. Role Summary We are hiring a hands-on engineer with strong experience in EEG hardware design, signal acquisition, analog electronics, electrode integration, and PCB-level hardware development. The role focuses on designing and integrating reliable electrical connections between EEG electrodes, PPG sensors, and electronics modules while ensuring low-noise, high-quality physiological signal acquisition. A key responsibility is investigating and developing detachable hardware connection mechanisms, particularly pogo-pin connectors with magnetic attachment, while also evaluating other approaches such as direct soldering and USB-C connections. The ideal candidate should be capable of independently designing, prototyping, troubleshooting, and validating EEG hardware interfaces without compromising signal quality. Prior practical experience with EEG acquisition hardware is strictly mandatory.



This is not a firmware development, neuroscience research, or EEG AI/ML role. 3.

Key Responsibilities
• Design and integrate EEG electrodes and PPG sensors with acquisition electronics.
• Develop reliable EEG signal, reference, and ground/bias connections.
• Investigate electrical connection mechanisms, including soldering, USB-C, and pogo-pin connectors.
• Design and evaluate pogo-pin-based interfaces with magnetic attachment for detachable electronics modules.
• Define connector pin assignments, PCB contact pads, power connections, and signal routing.
• Ensure reliable electrical contact, mechanical alignment, and durability during repeated attachment and detachment.
• Design, review, and modify EEG circuit schematics and PCB layouts.
• Evaluate EEG analog front-end performance, including amplification, input impedance, CMRR, filtering, and ADC characteristics.
• Identify and minimize electrical noise, grounding issues, signal interference, and electrode-contact instability.
• Ensure PPG sensor integration does not interfere with sensitive EEG acquisition.
• Validate EEG signal quality, connector reliability, electrical continuity, and mechanical stability.
• Diagnose hardware-related signal-quality problems and recommend design improvements.
• Document hardware designs, testing results, and validation findings. 4. Required Technical Skills
• Proven hands-on EEG hardware design, development, integration, or troubleshooting experience is mandatory.
• Strong understanding of EEG hardware architecture: electrodes → analog front end → ADC → acquisition electronics.
• Practical knowledge of wet/dry EEG electrodes, electrode impedance, and reference/ground/bias configurations.
• Experience with low-noise analog electronics, instrumentation amplifiers, gain, CMRR, input impedance, and bandwidth.
• Understanding of EEG analog front-end ICs.
• Knowledge of ADC resolution, dynamic range, sampling rates, and analog filtering.
• Experience integrating biomedical sensors, including EEG electrodes and familiarity with PPG sensor interfaces.
• Practical knowledge of PCB design, schematic review, grounding, shielding, and signal routing.
• Understanding of electrical connectors, including pogo pins, contact pads, board-to-board connectors, and USB-C.
• Knowledge of connector alignment, contact resistance, pin assignments, and mechanical reliability.
• Ability to diagnose EEG signal noise, baseline drift, electrode-contact problems, and electrical interference.
• Ability to use oscilloscopes, signal generators, multimeters, and other electronic test equipment. 5. Preferred Qualifications
• Bachelor's or Master's degree in Electrical/Electronics Engineering,



Biomedical Engineering, Instrumentation, or a related field.
• Prior experience developing or integrating wearable EEG headsets or acquisition devices.
• Experience designing multichannel EEG acquisition circuits.
• Practical experience with pogo-pin connectors, magnetic attachments, or detachable electronic modules.
• Experience integrating EEG and PPG sensors in wearable hardware.
• Familiarity with PCB design tools such as Altium Designer, KiCad, or Eagle.
• Experience working with EEG hardware vendors or hardware prototyping teams. 6. Practical Hands-on Experience Expected
• Has physically worked with EEG electrodes, analog front ends, and EEG acquisition circuits.
• Has successfully acquired raw EEG signals and troubleshot hardware-level signal-quality issues.
• Has integrated EEG electrodes with acquisition electronics.
• Has worked on low-noise analog circuitry, grounding, shielding, and electrical interfaces.
• Has designed, reviewed, or modified PCB schematics and layouts.
• Has experience with electrical connectors, hardware interfaces, or sensor integration.
• Has used bench equipment to evaluate electrical signals and hardware performance.
• Can independently prototype and validate a detachable electrical connection mechanism.
• Has investigated and resolved hardware-related electrical noise or contact issues. 7. Tools, Platforms, and Hardware Experience
• EEG acquisition systems: Custom EEG circuits, OpenBCI, g.tec, Brain Products, Emotiv, or equivalent.
• Analog electronics: EEG AFEs, instrumentation amplifiers, ADCs, signal-conditioning circuits.
• PCB tools: Altium Designer, KiCad, Eagle.
• Connectors: Pogo pins, PCB contact pads, USB-C, board-to-board connectors, magnetic attachments.
• Testing equipment: Oscilloscope, multimeter, function generator, impedance meter, logic analyzer.
• Sensors: EEG electrodes, PPG modules, physiological signal acquisition interfaces.
• Validation: EEG signal simulators, noise measurements, contact reliability, and signal-integrity testing. 8. Required Knowledge Areas
• EEG hardware architecture and signal acquisition.
• EEG electrodes, impedance, reference, and ground/bias connections.
• Analog front-end design and low-noise amplification.
• ADC characteristics and analog filtering.
• PPG sensor interfacing and integration.
• Pogo-pin and detachable connector design.
• PCB design, grounding, shielding, and signal routing.
• Electrical contact resistance and mechanical reliability.
• Hardware prototyping, testing, and troubleshooting.
• Electrical safety for wearable biomedical devices. Mandatory Requirement: Candidates must have direct, hands-on experience with EEG acquisition hardware. Experience limited to EEG data analysis, AI/ML, firmware, neuroscience research, or other biomedical sensors without practical EEG hardware experience is not sufficient. Please complete your application through our Careers page: Link To Apply directly: https://jobs.basilhealth.com/jobs/cms3kfst600070apc8y50fbne:

📌 Senior EEG Hardware Design (Bengaluru)
🏢 Basil Health AI
📍 Bengaluru